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Computational Intelligence in Emerging Technologies for Engineering Applications

Overview of attention for book
Cover of 'Computational Intelligence in Emerging Technologies for Engineering Applications'

Table of Contents

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    Book Overview
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    Chapter 1 Uncertainty Analysis of a Near-Field Acoustic Levitation System
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    Chapter 2 Uncertainty Quantification and Statistics of Curves and Surfaces
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    Chapter 3 Meta-Heuristic Approaches for Automatic Roof Measurement in Solar Panels Installations
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    Chapter 4 Solution of a Coupled Conduction–Radiation Inverse Heat Transfer Problem with the Topographical Global Optimization Method
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    Chapter 6 A Novel Approach for Leak Localization in Water Distribution Networks Using Computational Intelligence
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    Chapter 7 Determination of Nano-aerosol Size Distribution Using Differential Evolution
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    Chapter 8 Estimation of Timewise Varying Boundary Heat Flux via Bayesian Filters and Markov Chain Monte Carlo Method
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    Chapter 9 Health Monitoring of Automotive Batteries in Fast-Charging Conditions Through a Fuzzy Model of the Incremental Capacity
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    Chapter 10 Fault Detection and Isolation in Smart Grid Devices Using Probabilistic Boolean Networks
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    Chapter 11 Evaluating Automated Machine Learning on Supervised Regression Traffic Forecasting Problems
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    Chapter 12 Multi-Robot Coalition Formation and Task Allocation Using Immigrant Based Adaptive Genetic Algorithms
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    Chapter 13 Lidar and Non-extensive Particle Filter for UAV Autonomous Navigation
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    Chapter 14 Quasi-Optimization of the Time Dependent Traveling Salesman Problem by Intuitionistic Fuzzy Model and Memetic Algorithm
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    Chapter 15 Analyzing Information and Communications Technology National Indices by Using Fuzzy Data Mining Techniques
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4 Mendeley
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Title
Computational Intelligence in Emerging Technologies for Engineering Applications
Published by
Springer International Publishing, January 2020
DOI 10.1007/978-3-030-34409-2
ISBNs
978-3-03-034408-5, 978-3-03-034409-2
Editors

Orestes Llanes Santiago, Carlos Cruz Corona, Antônio José Silva Neto, José Luis Verdegay

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 50%
Professor 1 25%
Student > Bachelor 1 25%
Readers by discipline Count As %
Computer Science 3 75%
Engineering 1 25%